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Data and Analytics Project Manager Jobs

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Operations Analyst- Global Merchandising
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Spain , Madrid
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Fever
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Director, Digital Enablement Operations & Back Office
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United States , Carmel
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130000.00 - 197000.00 USD / Year
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Belden, Inc
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Business Analyst IV
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United States
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Beacon Technologies
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Data Solutions & AI expert
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Luxembourg , Luxembourg
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Quintet Private Bank
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Marketing Operations Manager
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United States , San Francisco
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134000.00 - 164000.00 USD / Year
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Mixpanel
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Team Lead - Reporting and BI
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Australia , Adelaide
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Adbri Concrete
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Risk Analytics Intmd Analyst
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India , Mumbai; Haryana
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Citi
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Business Planning Manager
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Puerto Rico , Aguadilla
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Hewlett Packard Enterprise
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Loyalty Communication Senior Strategist
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United States of America , Charlotte
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Circle K
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Manager, Promotional Capabilities
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United States of America , Charlotte
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Circle K
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Business Inventory Analyst
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India , Chennai
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Hewlett Packard Enterprise
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Business Inventory Analyst
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India , Bangalore
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Environmental Liability Risk Consultant
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United States , Remote
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95000.00 - 115000.00 USD / Year
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Allianz
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Senior Strategy Manager
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Argentina , Buenos Aires
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Growth Headquarter Manager
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Argentina
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Model/Anlys/Valid Sr Mgr
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India , Mumbai
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Citi
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Senior Data Scientist
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Belgium , Brussels
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Sopra Steria
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Sales Strategy and Planning Graduate
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Romania , Bucharest
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Hewlett Packard Enterprise
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Data Governance Analyst
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United States , Houston
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Robert Half
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Senior Auditor - Cyber & Infrastructure IA
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Canada , Mississauga
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Citi
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Embark on a high-impact career at the intersection of data, technology, and business strategy by exploring Data and Analytics Project Manager jobs. This unique hybrid role is pivotal in today's data-driven organizations, acting as the crucial bridge between technical data teams and business stakeholders. Professionals in this field are responsible for translating complex business needs into actionable data initiatives, ensuring that analytics projects deliver tangible value and insights. A Data and Analytics Project Manager typically oversees the entire lifecycle of data-centric projects. This includes initiating projects by defining scope and objectives with key stakeholders, planning resource allocation and timelines, and executing the work through coordinated team efforts. Common responsibilities involve managing the development of data warehouses, implementing new business intelligence (BI) dashboards, overseeing the deployment of machine learning models, or ensuring compliance with data governance and quality standards. Their core mission is to shepherd data projects from a conceptual idea to a fully operational solution that informs decision-making. The day-to-day duties are diverse and demanding. Practitioners are consistently engaged in stakeholder management, communicating progress, managing expectations, and translating technical challenges into business risks. They facilitate agile ceremonies for data engineering or data science teams, manage project backlogs, and mitigate risks that could derail timelines or data integrity. A significant part of the role is also change management, helping the business users adopt and effectively utilize new data tools and reports. To succeed in Data and Analytics Project Manager jobs, a specific blend of technical and soft skills is essential. Strong foundational knowledge of data concepts—such as data modeling, ETL processes, SQL, BI platforms, and the fundamentals of data science—is critical for credibility and effective planning. However, technical knowledge must be paired with exceptional leadership, communication, and problem-solving abilities. Typical requirements for these positions include a bachelor’s degree in a related field like business, computer science, or information systems, coupled with several years of experience in project management, often certified by a PMP or Agile Scrum Master credential. Direct experience within data or analytics teams is a significant advantage. If you are a strategic thinker who thrives on delivering results and unlocking the power of data, a career in Data and Analytics Project Manager jobs offers a challenging and rewarding path to shape the future of business intelligence.

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